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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 2 new columns ({'3535498', '6693#41'}) and 2 missing columns ({'4918739', '956254#2'}).
This happened while the csv dataset builder was generating data using
hf://datasets/spanish-ir/messirve-trec/qrels.messirve-v0.1-bo-train.tsv (at revision cee45fffb8cab5495dced68dd779173e85aaa91e)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
3535498: int64
Q0: string
6693#41: string
1: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 691
to
{'4918739': Value(dtype='int64', id=None), 'Q0': Value(dtype='string', id=None), '956254#2': Value(dtype='string', id=None), '1': Value(dtype='int64', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1396, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1045, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1029, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1124, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1884, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2015, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 2 new columns ({'3535498', '6693#41'}) and 2 missing columns ({'4918739', '956254#2'}).
This happened while the csv dataset builder was generating data using
hf://datasets/spanish-ir/messirve-trec/qrels.messirve-v0.1-bo-train.tsv (at revision cee45fffb8cab5495dced68dd779173e85aaa91e)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
4918739
int64 | Q0
string | 956254#2
string | 1
int64 |
|---|---|---|---|
4,918,752 | Q0 | 10693652#0 | 1 |
4,918,788 | Q0 | 455913#5 | 1 |
4,918,793 | Q0 | 455913#5 | 1 |
4,918,799 | Q0 | 4124245#36 | 1 |
4,918,802 | Q0 | 4124245#5 | 1 |
4,918,847 | Q0 | 7039240#0 | 1 |
4,918,850 | Q0 | 11018#10 | 1 |
4,918,855 | Q0 | 250990#2 | 1 |
4,918,866 | Q0 | 288535#0 | 1 |
4,918,879 | Q0 | 431785#11 | 1 |
4,918,880 | Q0 | 21111#5 | 1 |
4,918,882 | Q0 | 21111#23 | 1 |
4,918,883 | Q0 | 26387#4 | 1 |
4,918,886 | Q0 | 26387#4 | 1 |
4,918,887 | Q0 | 21111#42 | 1 |
4,918,888 | Q0 | 431785#13 | 1 |
4,918,889 | Q0 | 26387#4 | 1 |
4,918,890 | Q0 | 21111#42 | 1 |
4,918,891 | Q0 | 21111#41 | 1 |
4,918,902 | Q0 | 66109#1 | 1 |
4,918,910 | Q0 | 6464567#12 | 1 |
4,918,912 | Q0 | 32867#14 | 1 |
4,918,919 | Q0 | 185205#4 | 1 |
4,918,922 | Q0 | 60525#22 | 1 |
4,918,923 | Q0 | 41144#6 | 1 |
4,918,924 | Q0 | 60525#22 | 1 |
4,918,930 | Q0 | 21412#1 | 1 |
4,918,931 | Q0 | 32867#14 | 1 |
4,918,933 | Q0 | 4440370#1 | 1 |
4,918,941 | Q0 | 55259#1 | 1 |
4,918,951 | Q0 | 3665593#9 | 1 |
4,918,957 | Q0 | 360707#39 | 1 |
4,918,959 | Q0 | 360707#2 | 1 |
4,918,960 | Q0 | 360707#38 | 1 |
4,918,971 | Q0 | 323087#1 | 1 |
4,918,978 | Q0 | 3449#3 | 1 |
4,918,980 | Q0 | 10798#3 | 1 |
4,918,985 | Q0 | 10798#3 | 1 |
4,918,986 | Q0 | 3449#3 | 1 |
4,918,990 | Q0 | 21111#41 | 1 |
4,918,992 | Q0 | 21111#5 | 1 |
4,918,994 | Q0 | 431785#13 | 1 |
4,918,999 | Q0 | 11018#22 | 1 |
4,919,011 | Q0 | 2281210#1 | 1 |
4,919,012 | Q0 | 5682#4 | 1 |
4,919,021 | Q0 | 9505929#4 | 1 |
4,919,024 | Q0 | 2281210#1 | 1 |
4,919,028 | Q0 | 1397308#0 | 1 |
4,919,032 | Q0 | 11568#5 | 1 |
4,919,035 | Q0 | 66109#1 | 1 |
4,919,036 | Q0 | 746#4 | 1 |
4,919,037 | Q0 | 1276357#11 | 1 |
4,919,040 | Q0 | 1526741#18 | 1 |
4,919,042 | Q0 | 33779#16 | 1 |
4,919,047 | Q0 | 4539304#1 | 1 |
4,919,049 | Q0 | 2570#3 | 1 |
4,919,050 | Q0 | 5189863#16 | 1 |
4,919,052 | Q0 | 365714#1 | 1 |
4,919,053 | Q0 | 195596#76 | 1 |
4,919,058 | Q0 | 45099#10 | 1 |
4,919,059 | Q0 | 1790#0 | 1 |
4,919,061 | Q0 | 1790#0 | 1 |
4,919,062 | Q0 | 182811#1 | 1 |
4,919,064 | Q0 | 47351#11 | 1 |
4,919,066 | Q0 | 26387#4 | 1 |
4,919,079 | Q0 | 1843182#1 | 1 |
4,919,080 | Q0 | 1843182#1 | 1 |
4,919,088 | Q0 | 2564172#29 | 1 |
4,919,092 | Q0 | 187829#1 | 1 |
4,919,104 | Q0 | 48495#2 | 1 |
4,919,117 | Q0 | 10177925#1 | 1 |
4,919,121 | Q0 | 8019924#2 | 1 |
4,919,123 | Q0 | 5298#14 | 1 |
4,919,126 | Q0 | 1550136#50 | 1 |
4,919,127 | Q0 | 272324#0 | 1 |
4,919,136 | Q0 | 310071#15 | 1 |
4,919,137 | Q0 | 19368#43 | 1 |
4,919,142 | Q0 | 972#1 | 1 |
4,919,143 | Q0 | 630511#4 | 1 |
4,919,146 | Q0 | 8005#1 | 1 |
4,919,148 | Q0 | 298875#0 | 1 |
4,919,150 | Q0 | 69116#0 | 1 |
4,919,161 | Q0 | 3737794#13 | 1 |
4,919,162 | Q0 | 9351781#0 | 1 |
4,919,164 | Q0 | 2975001#5 | 1 |
4,919,176 | Q0 | 66194#5 | 1 |
4,919,193 | Q0 | 11018#37 | 1 |
4,919,195 | Q0 | 45099#7 | 1 |
4,919,197 | Q0 | 11018#37 | 1 |
4,919,198 | Q0 | 11018#37 | 1 |
4,919,201 | Q0 | 77666#3 | 1 |
4,919,208 | Q0 | 1852597#6 | 1 |
4,919,213 | Q0 | 9966530#39 | 1 |
4,919,215 | Q0 | 6321501#8 | 1 |
4,919,224 | Q0 | 288535#0 | 1 |
4,919,225 | Q0 | 288535#0 | 1 |
4,919,239 | Q0 | 26387#4 | 1 |
4,919,246 | Q0 | 2570#3 | 1 |
4,919,257 | Q0 | 12577#31 | 1 |
4,919,263 | Q0 | 33790#16 | 1 |
End of preview.
These are the conventional TREC-style topics and qrels files for MessIRve.
The corpus of documents for information retrieval is https://huggingface.co/datasets/spanish-ir/eswiki_20240401_corpus.
Refer to https://huggingface.co/datasets/spanish-ir/messirve for further detail.
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